R Maps

We install the environment and

  install.packages(c("devtools","tidyverse","sf","geojsonio", "spData", "data.table"))

Retrieving 'https://cloud.r-project.org/src/contrib/data.table_1.13.6.tar.gz' ...
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Installing devtools [2.3.2] ...
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Installing tidyverse [1.3.0] ...
    OK [linked cache]
Installing sf [0.9-7] ...
    OK [linked cache]
Installing geojsonio [0.9.4] ...
    OK [linked cache]
Installing spData [0.3.8] ...
    OK [linked cache]
Installing data.table [1.13.6] ...
    OK [built from source]

Registered S3 method overwritten by 'data.table':
  method           from
  print.data.table     

  install.packages(c("devtools","tidyverse","sf","geojsonio", "spData", "data.table"))

Installing devtools [2.3.2] ...
    OK [linked cache]
Installing tidyverse [1.3.0] ...
    OK [linked cache]
Installing sf [0.9-7] ...
    OK [linked cache]
Installing geojsonio [0.9.4] ...
    OK [linked cache]
Installing spData [0.3.8] ...
    OK [linked cache]
Installing data.table [1.13.6] ...
    OK [linked cache]

  renv::snapshot(prompt = FALSE)

The following package(s) will be updated in the lockfile:

# CRAN ===============================
- data.table   [* -> 1.13.6]

* Lockfile written to '~/Projects/Dropbox/r-maps/renv.lock'.

Cartovl Map for R example

nc_geojson <- system.file("shape/nc.shp", package = "sf") %>%
  st_read() %>%
  geojson_json()

viz_def <- list(
  "color: ramp($AREA, [midnightblue, gold])"
)

map <- cartovl() %>%
  set_view(-79.89042, 35.23582, 6) %>%
  add_layer(nc_geojson, viz_def)

if (interactive()) map

getting started

sample_data <- geojson_json(quakes)

Assuming 'long' and 'lat' are longitude and latitude, respectively
'geojsonlint' not installed, skipping GeoJSON linting

viz_def <- list(
  "color: green",
  "width: 5",
  "filter: $mag > 5.2",
  "@popup: $mag"
)

map <- cartovl() %>%
  set_view(176.9, -24.655, 2) %>%
  add_layer(sample_data, viz_def, popup = TRUE) %>%
  add_box("<h1>quakes</h1>")

if (interactive()) map

carto-dataset

viz_def <- list(
  "width: 7",
  "color: ramp($weather,[darkorange,darkviolet,darkturquoise])",
  "strokeWidth: 0.2",
  "strokeColor: black"
)

map <- cartovl() %>%
  set_view(-96, 41, 4) %>%
  add_box("<b>Rail Accidents by Weather</b>") %>%
  set_default_auth() %>%
  add_dataset_layer("railroad_accidents", viz_def, legend = list(position = "bottom-left"))

if (interactive()) map

every-person-in-manhatten

data_url <- paste0(
  "https://raw.githubusercontent.com/",
  "uber-common/deck.gl-data/",
  "master/examples/scatterplot/manhattan.json"
)

persons <- data_url %>%
  jsonlite::read_json(simplifyVector = TRUE) %>%
  as_tibble() %>%
  set_names(c("lng", "lat", "sex")) %>%
  dplyr::mutate(sex = ifelse(sex == 1, "male", "female"))

The `x` argument of `as_tibble.matrix()` must have unique column names if `.name_repair` is omitted as of tibble 2.0.0.
Using compatibility `.name_repair`.
This warning is displayed once every 8 hours.
Call `lifecycle::last_warnings()` to see where this warning was generated.

# persons$sex <- ifelse(persons$sex == 1, "m", "f")

# persons_geojson <- geojsonio::geojson_json(persons)

cartovl() %>%
  set_view(-73.985130, 40.758896, 11) %>%
  add_control() %>%
  add_layer(
    # data = persons_geojson,
    data = persons,
    viz_def = list("color: ramp(buckets($sex, ['male', 'female']), [red, blue])"),
    legend = TRUE
  )

external-data-source

source <- "https://libs.cartocdn.com/carto-vl/assets/stations.geojson"

map <- cartovl() %>%
  set_view(-77.04, 38.89, 9) %>%
  add_external_geojson_layer(source, list("@popup: $name"), popup = TRUE)

if (interactive()) map

layers_polygon

nc_geojson <- system.file("shape/nc.shp", package = "sf") %>%
  st_read() %>%
  geojson_json()

Reading layer `nc' from data source `/home/jordi/.local/share/renv/cache/v5/R-4.0/x86_64-pc-linux-gnu/sf/0.9-7/9d6831c4c002137d99be6b946ac9da07/sf/shape/nc.shp' using driver `ESRI Shapefile'
Simple feature collection with 100 features and 14 fields
geometry type:  MULTIPOLYGON
dimension:      XY
bbox:           xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
CRS:            4267

'geojsonlint' not installed, skipping GeoJSON linting

viz_def <- list(
  "color: ramp($AREA, [midnightblue, gold])",
  "filter: $AREA > 0.16",
  "@name: $NAME"
)

viz_def2 <- list(
  "color: ramp(globalQuantiles($AREA, 3), [midnightblue, gold])",
  "@name: $NAME"
)

map <- cartovl() %>%
  add_source(nc_geojson, "nc") %>%
  add_control("NavigationControl", showCompass = FALSE) %>%
  set_view(-79.89042, 35.23582, 6) %>%
  add_layer("nc", viz_def2, popup = TRUE, legend = TRUE)
  # add_layer(nc_geojson, viz_def, popup = TRUE)

if (interactive()) map

mapbox-layer_polygo

polygon_style <- list(
  type = "fill",
  paint = list(
    "fill-color" = "white",
    "fill-outline-color" = "red"
  ),
  filter = list(">", "AREA", 0.2)
)

cartovl() %>%
  set_view(-79.89042, 35.23582, 6) %>%
  add_source(nc_geojson, "nc") %>%
  add_mapbox_layer("nc", polygon_style)

mapbox-layer_text

data_geojson <- geojsonio::geojson_json(quakes)

Assuming 'long' and 'lat' are longitude and latitude, respectively
'geojsonlint' not installed, skipping GeoJSON linting

text_style <- list(
  type = "symbol",
  layout = list(
    "text-field" = "{mag}"
  ),
  paint = list(
    "text-color" = "white"
  )
)

map <- cartovl() %>%
  set_view(176.9, -24.655, 2) %>%
  # add_source(data_geojson, "quakes") %>%
  add_source(quakes, "quakes", latitude = "lat", longitude = "long") %>%
  # add_mapbox_layer("quakes", text_style) %>%
  add_mapbox_layer("quakes", mapbox_text_style("mag")) %>%
  add_control()

if (interactive()) map

multiple-layers

text_style <- list(
  type = "symbol",
  layout = list(
    "text-field" = "{NAME}"
  ),
  paint = list(
    "text-color" = "white"
  )
)

data_url <- "https://raw.githubusercontent.com/uber-common/deck.gl-data/master/examples/highway/roads.json"

us_states <- geojsonio::geojson_json(spData::us_states)

map <- cartovl() %>%
  add_control() %>%
  add_source(us_states, "us_states") %>%
  set_view(-100, 38, 3) %>%
  add_layer(
    "us_states",
    list(
      "color: opacity(ramp($NAME, vivid), 0.4)"
    ),
    id = "state-polygons"
  ) %>%
  add_external_geojson_layer(
    data_url,
    list(
      "color: ramp($state, vivid)",
      "width: 5",
      "@popup: $state"
    ),
    id = "roads",
    popup = TRUE
  ) %>%
  add_mapbox_layer(
    "us_states", text_style, id = "labels"
  )

if (interactive()) map

road-safety-uk

data_url <- paste0(
  "https://raw.githubusercontent.com/",
  "uber-common/deck.gl-data/",
  "master/examples/3d-heatmap/heatmap-data.csv"
)
sample_data <- data.table::fread(data_url) %>%
  na.omit()

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viz_def <- list(
  "width: 5"
)

map <- cartovl() %>%
  set_view(-1.4157267858730052, 52.232395363869415, 4) %>%
  add_layer(sample_data, viz_def)

if (interactive()) map

vancouver-blocks

data_url <- paste0(
  "https://raw.githubusercontent.com/uber-common/deck.gl-data/",
  "master/examples/geojson/vancouver-blocks.json"
)

blocks <- st_read(data_url) %>%
  geojson_json()

Reading layer `vancouver-blocks' from data source `https://raw.githubusercontent.com/uber-common/deck.gl-data/master/examples/geojson/vancouver-blocks.json' using driver `GeoJSON'
Simple feature collection with 4627 features and 2 fields
geometry type:  POLYGON
dimension:      XY
bbox:           xmin: -123.2639 ymin: 49.19952 xmax: -123.0235 ymax: 49.29561
CRS:            4326

'geojsonlint' not installed, skipping GeoJSON linting

viz_def <- list(
  "color: ramp($growth, [red, green, yellow])"
)

map <- cartovl() %>%
  set_view(latitude = 49.254, longitude = -123.13, zoom = 11) %>%
  add_layer(blocks, viz_def)

map <- cartovl() %>%
  set_view(latitude = 49.254, longitude = -123.13, zoom = 11) %>%
  add_external_geojson_layer(data_url, viz_def)


if (interactive()) map